• 제목/요약/키워드: Panel Data Regression Model

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국민연금 수급이 고령자의 삶의 만족도에 미치는 영향에 관한 연구 (A Study on the Effect of the National Pension on the Life Satisfaction of Old age)

  • 권혁창;이은영
    • 사회복지연구
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    • 제43권2호
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    • pp.61-85
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    • 2012
  • 본 연구는 국민노후보장패널 1차 및 3차의 종단자료를 이용하여 국민연금 수급 여부(혹은 수급액)가 고령자의 삶의 만족도에 어떠한 영향을 미치는가를 분석하는 것을 목적으로 한다. 본 연구는 국민연금 수급과 생활만족도에 대한 다양한 조작적 정의를 도입하여 두 변수간의 관계를 검토하였다. 분석방법으로는 이중차이모델과 패널자료 분석방법을 활용하였으며, 연구결과는 다음과 같다. 첫째, 국민연금 수급집단과 국민연금 비수급집단의 전반적 생활만족도를 비교한 결과 두 집단 간에 유의미한 차이가 드러나지 않았다. 둘째, 두 집단의 차이에 영향을 미칠 수 있는 변수들, 예를 들면 장애여부와 근로여부를 통제하고 국민연금 수급집단과 비수급집단을 비교하면, 국민연금 수급이 고령자의 생활만족도에 유의미한 영향을 미치지 않는 것을 확인할 수 있다. 셋째, 고정효과분석(fixed-effect model)의 분석결과, 고령자들의 눈에 보이지 않는 특성을 통제하면, 국민연금의 수급은 고령자의 생활만족도에 통계적으로 유의미한 영향을 미치는 것으로 드러나지 않는다. 본 연구는 민감도분석을 추가하고 정책적 함의를 도출하였다.

The Impact of Foreign Ownership on Capital Structure: Empirical Evidence from Listed Firms in Vietnam

  • NGUYEN, Van Diep;DUONG, Quynh Nga
    • The Journal of Asian Finance, Economics and Business
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    • 제9권2호
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    • pp.363-370
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    • 2022
  • The study aims to probe the impact of foreign ownership on Vietnamese listed firms' capital structure. This study employs panel data of 288 non-financial firms listed on the Ho Chi Minh City stock exchange (HOSE) and Ha Noi stock exchange (HNX) in 2015-2019. In this research, we applied a Bayesian linear regression method to provide probabilistic explanations of the model uncertainty and effect of foreign ownership on the capital structure of non-financial listed enterprises in Vietnam. The findings of experimental analysis by Bayesian linear regression method through Markov chain Monte Carlo (MCMC) technique combined with Gibbs sampler suggest that foreign ownership has substantial adverse effects on the firms' capital structure. Our findings also indicate that a firm's size, age, and growth opportunities all have a strong positive and significant effect on its debt ratio. We found that the firms' profitability, tangible assets, and liquidity negatively and strongly affect firms' capital structure. Meanwhile, there is a low negative impact of dividends and inflation on the debt ratio. This research has ramifications for business managers since it improves a company's financial resources by developing a strong capital structure and considering foreign investment as a source of funding.

사교육비 지출이 청소년 자녀의 우울과 신체증상에 미치는 영향 (The Impact of Private Educational Expenditure on Adolescent Depression and Somatic Symptoms)

  • 이성림;김진숙
    • Human Ecology Research
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    • 제60권2호
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    • pp.289-302
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    • 2022
  • This study examined the effect of private educational expenditure on adolescent depression and somatic symptoms. The sample comprised 2,589 first-grade middle-school students who completed the 2018 Korea Children and Youth Panel Survey. Data were analyzed using ANOVA (the generalized linear model), multiple regression, and quantile regression analysis. The principal results were as follows. First, 15.15% of adolescents reported depression symptoms, and 15.57% reported somatic symptoms. Second, levels of depression were significantly different among classes with a different level of private educational expenditure. Third, depression level was significantly negatively associated with private educational expenditure, in that the higher the private educational expenditure, the lower the depression level. Fourth, the effect of private educational expenditure on adolescent depression was significant at the 70~90th quantile regression, suggesting that private educational expenditure was associated with a higher level of depression symptoms. The results indicate that private education was viewed as a consumption commodity rather than a complementary educational practice or investment in human capital. Private education as a commodity might induce the highly developed and costly private education market. In turn, there is an increased financial burden for education at one end of the social-economic continuum and depression caused by relative deprivation at the other end.

패널회귀분석을 이용한 내항 화물운송사업체의 경영특성 분석에 관한 연구 (A Study on the Analysis of Management Characteristics of Coastal Port Freight Transportation Business Using Panel Regression Analysis)

  • 김석;박성훈;양태현;여기태
    • 디지털융복합연구
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    • 제17권3호
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    • pp.79-92
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    • 2019
  • 본 연구는 패널회귀분석의 GLS 및 고정효과모형 추정을 통해 내항 화물운송사업의 화물운송수입과 자본, 자산, 영업외 비용, 부채비율이 부채에 어떠한 영향을 미치는지 분석하였다. 이론적 배경을 통한 요인과 가설 설정, 2006년부터 2015년까지 10년간 내항 화물운송사업체의 재무상태표, 손익계산서 자료를 분석한 결과, 자산은 부채에 정(+)의 영향, 자본과 영업외비용, 부채비율은 부채에 부(-)의 영향을 끼치며, 화물운송수입은 영향을 미치지 않는 것으로 나타났다. 이러한 결과는 내항 화물운송사업체가 부채확대로 자산 확보하려는 경향, 은행차입을 통한 이자비용 등 영업외비용을 활용한 부채감소 레버리지 효과 창출, 부채보다 자본을 줄여 부채비율을 하향조정하고 있는 경영특성과 재무적 운영방식을 채택하고 있음을 실증적으로 보여준다. 향후 연구에서는 내항 화물운송업체를 업종별(화물선, 유조선, 예부선), 지역별(서해권, 남해권, 동해권)로 세분화하여 분석할 필요가 있다.

특허출원을 통한 기업 기술혁신 원천분석 : 고기술산업과 중저기술산업의 비교 (Exploration of Enterprise Innovation Sources through Patent Analysis : Comparison of High-Tech Industries and Mid-Tech Industries)

  • 황규희;이중만
    • Journal of Information Technology Applications and Management
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    • 제21권4_spc호
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    • pp.331-344
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    • 2014
  • This study attempts to explore the difference of innovation sources between high-tech industry and mid-tech industry through patent analysis. After extracting 119 corporates, commonly surveyed in 2007 HCCP(Human Capital Corporate Panel) and 2005~2006 Korea Innovation Survey, their patents applied for the Korean Intellectual Property Office in 2007~2012 are analysed mainly through negative binomial regression model. Analytical results shows that external information source could be opposite effects to technological innovation depending on technological level and industrial characteristics. The current results are still bounded in the statistical significance, mainly due to the limited observations and information.

참외 과중에 영향을 미치는 환경요인 분석 (Environmental Factor Analysis Affecting Fruit Weight of Korean Melon)

  • 최돈우;도한우;최홍집;류영현;임청룡
    • 농촌계획
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    • 제27권2호
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    • pp.43-48
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    • 2021
  • In this study, an analysis was performed using the growth data and environment data of Korean melon farmers to confirm the influence of environmental factors variables on fruit weight of Korean melon. The analysis results can be summarized as follows. First, it was confirmed that humidity and temperature were recognized as the most important factors among the core factors of korean melon farm production management. Second, The correlation analysis of fruit weight and environmental factors showed a statistically significant soil temperature, internal humidity. Third, The Pooled OLS model estimation results showed that the estimation coefficient for soil temperature is (-), and the estimation coefficient for soil temperature square is (+), indicating that optimal control temperature exists.

고위험 학대피해 경험 청소년의 자아탄력성에 영향요인 (Factors Influencing Ego-resilience in Adolescents Suffering from High-risk of Abuse)

  • 최유남;김지연;신지인
    • 한국학교보건학회지
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    • 제31권1호
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    • pp.18-28
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    • 2018
  • Purpose: The purpose of this study was to investigate the factors that influence ego-resilience among adolescents who have experienced abuse by parents in South Korea. Methods: This correlational study used the 4th year cross-sectional data of the seventh-grade middle school students who participated in the Korean Children and Youth Panel Survey (KCYPS) in fourth grade. Data analysis was performed by using SPSS/WIN 23.0 program, which included descriptive statistics, Pearson's correlations coefficient, and hierarchical regression. Results: The results of the hierarchical regression of model 5 revealed that the quality of peer relations played the most significant role in predicting ego-resilience of abused adolescents, followed by self-identity. Also, self-esteem, the quality of teacher-student relationships, excessive expectations from parents, and community awareness had a significant impact on the variance of self-resilience in abused adolescents. This regression model explained 42% of the variance. Conclusion: This study showed that ego-resilience, an asset and resource to help adolescents overcome adverse effects of abuse, was influenced by social environment as well as individual factors. In addition, social support from peers and teachers had greater influence on ego-resilience than support from family members. Thus, the factors identified in this study need to be considered in programs designed to improve ego-resilience as well as in policies for abused adolescents.

산재장애인의 사회경제적 지위 인식과 주관적 건강상태와의 관련성 (The Relevance of Socioeconomic Class Recognition and Subjective Health Status of Injured Workers)

  • 최령;황병덕
    • 보건의료산업학회지
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    • 제11권1호
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    • pp.131-142
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    • 2017
  • Objectives : This study aimed to examine to relevance of socioeconomic class recognition and subjective health status of injured workers. Methods : We used data collected over 3years by the Panel Study of Worker's Compensation Insurance(PSWCI; 2015). Data was analyzed using the chi-square test and logistic regression using SPSS ver. 22.0 to verify the relevance between the socioeconomic class recognition and general characteristics of injured workers. Results : First, the income groups of first class, second class and third class were analyzed as being of lower socioeconomic class status, and the income group four class and five class was analyzed as being the middle-ower the socioeconomic class status. Second, the better the subjective health status, higher the perception of socioeconomic class status, as analyzed by Model 1 using only the parameters of socioeconomic status recognition and Model 2 and Model 3 using income class and general characteristics. Conclusions : Health and industrial accident policies are needed to improve awareness of socioeconomic class status of injured workers.

Evaluation of Future Climate Change Impact on Streamflow of Gyeongancheon Watershed Using SLURP Hydrological Model

  • Ahn, So-Ra;Ha, Rim;Lee, Yong-Jun;Park, Geun-Ae;Kim, Seong-Joon
    • 대한원격탐사학회지
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    • 제24권1호
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    • pp.45-55
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    • 2008
  • The impact on streamflow and groundwater recharge considering future potential climate and land use change was assessed using SLURP (Semi-distributed Land-Use Runoff Process) continuous hydrologic model. The model was calibrated and verified using 4 years (1999-2002) daily observed streamflow data for a $260.4km^2$ which has been continuously urbanized during the past couple of decades. The model was calibrated and validated with the coefficient of determination and Nash-Sutcliffe efficiency ranging from 0.8 to 0.7 and 0.7 to 0.5, respectively. The CCCma CGCM2 data by two SRES (Special Report on Emissions Scenarios) climate change scenarios (A2 and B2) of the IPCC (Intergovemmental Panel on Climate Change) were adopted and the future weather data was downscaled by Delta Change Method using 30 years (1977 - 2006, baseline period) weather data. The future land uses were predicted by CA (Cellular Automata)-Markov technique using the time series land use data of Landsat images. The future land uses showed that the forest and paddy area decreased 10.8 % and 6.2 % respectively while the urban area increased 14.2 %. For the future vegetation cover information, a linear regression between monthly NDVI (Normalized Difference Vegetation Index) from NOAA/AVHRR images and monthly mean temperature using five years (1998 - 2002) data was derived for each land use class. The future highest NDVI value was 0.61 while the current highest NDVI value was 0.52. The model results showed that the future predicted runoff ratio ranged from 46 % to 48 % while the present runoff ratio was 59 %. On the other hand, the impact on runoff ratio by land use change showed about 3 % increase comparing with the present land use condition. The streamflow and groundwater recharge was big decrease in the future.

Bivariate Ordered Probit 모형을 이용한 미국 농업의 다원적 기능에 대한 소비자 인식분석 (Assessing Public Attitude for Multifunctional Roles of the U.S. Agriculture Using a Bivariate Ordered Probit Model)

  • 한정희;문완기;조용성
    • 한국유기농업학회지
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    • 제17권4호
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    • pp.413-439
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    • 2009
  • This study conducts a survey and test to understand U.S. public's perception about multifunctionality. The questionnaire suggests seven alternative way of providing questions about intangible benefits provided by agriculture in the U.S. The final questionnaire was administered as an e-mail survey in June 2008 to a nationally representative household panel maintained in the U.S. by the Ipsos Observer. Data analysis shows that 64 percent of respondents considered the multifunctionality of agriculiture as an important issue and 45 percent of respondents were in favor of increasing government expenditure to support farmland preservation. Using Fishbein's multi-attribute model as a theoretical background, this paper develops an empirical model to assess and attributes of multifunctionality. For the analysis, bivariate orderd probit model was set up to reflect respondent's attitude. Regression analyses show that two questions (how much you agree with agriculture's intangible benefit and increasing government expenditure to support agriculture) are shaped by different sets of facts.

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